# Feedforward neural network

## Papers overview

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Highly Cited

2013

Highly Cited

2013

- IEEE International Conference on Acousticsâ€¦
- 2013

Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionistâ€¦Â (More)

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Highly Cited

2012

Highly Cited

2012

- ArXiv
- 2012

When a large feedforward neural network is trained on a small training set, it typically performs poorly on held-out test dataâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

Universal approximation using incremental constructive feedforward networks with random hidden nodes

- IEEE Trans. Neural Networks
- 2006

According to conventional neural network theories, single-hidden-layer feedforward networks (SLFNs) with additive or radial basisâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- IEEE International Joint Conference on Neuralâ€¦
- 2004

It is clear that the learning speed of feedforward neural networks is in general far slower than required and it has been a majorâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- Information Science and Statistics
- 1999

There have been several books written on Neural Networks from the engineering point of view. In recent years, some books haveâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- IEEE Trans. Neural Networks
- 1997

Neural-network theorems state that only when there are infinitely many hidden units is a four-layered feedforward neural networkâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- IEEE Trans. Neural Networks
- 1997

This paper introduces quantum neural networks (QNNs), a class of feedforward neural networks (FFNNs) inherently capable ofâ€¦Â (More)

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Highly Cited

1994

Highly Cited

1994

- IEEE Trans. Neural Networks
- 1994

The Marquardt algorithm for nonlinear least squares is presented and is incorporated into the backpropagation algorithm forâ€¦Â (More)

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Highly Cited

1989

Highly Cited

1989

- Neural Networks
- 1989

Abstraet--A new approach to unsupervised learning in a single-layer linear feedforward neural network is discussed. An optimalityâ€¦Â (More)

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Highly Cited

1989

Highly Cited

1989

- IJCAI
- 1989

Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex patternâ€¦Â (More)

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